PCA Projects
Unlocking Donor Insights: Dimensionality Reduction with PCA
Donor Behavior Analysis with PCA
Predicting Contributions through Data Reduction: This project leverages Principal Component Analysis (PCA) to explore patterns in donor behavior using fundraising data. By analyzing various demographic and financial factors, including wealth, home value, and promotional efforts, we identified the key components that influence donation patterns.
Through dimensionality reduction, we simplified the dataset while preserving its most critical insights, allowing us to visualize clusters of similar donors and predict future donations with higher accuracy.